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Assessing the Impact of Lending Through Kisan Credit Cards in Rural India: Evidence from Eastern India

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  • Anjani Kumar

    (International Food Policy Research Institute (IFPRI))

  • Vinay K. Sonkar

    (International Food Policy Research Institute (IFPRI))

  • K. S. Aditya

    (ICAR-Indian Agricultural Research Institute)

Abstract

This paper attempts to identify the determinants of access to the KCC program and empirically evaluate its impact on farmers’ use of agricultural inputs and farm household incomes in eastern India. We have also examined whether the possession of KCC reduces the farmer’s dependence for borrowing on moneylenders. The estimation is based on Coarsened Exact Matching (CEM) approach, which is an increasingly popular method of estimating causal effects. The study uses a large survey of rural/farming households in eastern India (Bihar, Eastern Uttar Pradesh, Jharkhand, Odisha, and West Bengal). Findings reveal that access to KCC is strongly associated with the socioeconomic and demographic characteristic of farming households. We find that access to KCC increases farmers’ use of the agricultural inputs and households and farm income especially for marginal and small farmers. Finally, access to KCC reduces farmer’s dependency on moneylenders for borrowing credits by 25 percent.

Suggested Citation

  • Anjani Kumar & Vinay K. Sonkar & K. S. Aditya, 2023. "Assessing the Impact of Lending Through Kisan Credit Cards in Rural India: Evidence from Eastern India," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(3), pages 602-622, June.
    • Handle: RePEc:pal:eurjdr:v:35:y:2023:i:3:d:10.1057_s41287-022-00522-4
    DOI: 10.1057/s41287-022-00522-4
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    Cited by:

    1. Feng, Dawei & Zeng, Bing & Hu, Haoyu, 2023. "Access to credit cards and household labor participation: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PD).
    2. Boyu Liu & Longrui Wu & Shengdong Mu, 2024. "Research on Small-Sample Credit Card Fraud Identification Based on Temporal Attention-Boundary-Enhanced Prototype Network," Mathematics, MDPI, vol. 12(24), pages 1-16, December.

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